Triple
T17921244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soest plain |
E448070
|
entity |
| Predicate | regionalPlanningDesignation |
P59632
|
FINISHED |
| Object | intensively used agricultural area |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: intensively used agricultural area | Statement: [Soest plain, regionalPlanningDesignation, intensively used agricultural area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalPlanningDesignation Context triple: [Soest plain, regionalPlanningDesignation, intensively used agricultural area]
-
A.
cityPlanningDesignation
Indicates how an area is officially classified or designated within urban or municipal planning (e.g., residential, commercial, industrial).
-
B.
territorialDesignation
Indicates that an entity is assigned, defined, or recognized in terms of a specific geographic or territorial area.
-
C.
mapDesignation
Indicates a formal label or identifier that is assigned to something specifically for use on a map.
-
D.
hasRegionDesignation
chosen
Indicates that an entity is assigned or associated with a specific regional classification or designation.
-
E.
regionalPlanningInstrument
Indicates that an entity is a formal tool, policy, or framework used to guide and regulate planning and development within a specific geographic region.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30a11748190be41361d108aee58 |
completed | April 19, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:20 a.m.